JP7518097B2 - Ntrkの発癌性融合を示す候補となる徴候の識別 - Google Patents
Ntrkの発癌性融合を示す候補となる徴候の識別 Download PDFInfo
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- JP7518097B2 JP7518097B2 JP2021566992A JP2021566992A JP7518097B2 JP 7518097 B2 JP7518097 B2 JP 7518097B2 JP 2021566992 A JP2021566992 A JP 2021566992A JP 2021566992 A JP2021566992 A JP 2021566992A JP 7518097 B2 JP7518097 B2 JP 7518097B2
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- Life Sciences & Earth Sciences (AREA)
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- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19173832 | 2019-05-10 | ||
| EP19173832.7 | 2019-05-10 | ||
| PCT/EP2020/061665 WO2020229152A1 (en) | 2019-05-10 | 2020-04-28 | Identification of candidate signs indicative of an ntrk oncogenic fusion |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2022531961A JP2022531961A (ja) | 2022-07-12 |
| JPWO2020229152A5 JPWO2020229152A5 (https=) | 2023-01-23 |
| JP2022531961A5 JP2022531961A5 (https=) | 2023-01-23 |
| JP7518097B2 true JP7518097B2 (ja) | 2024-07-17 |
Family
ID=66483934
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021566992A Active JP7518097B2 (ja) | 2019-05-10 | 2020-04-28 | Ntrkの発癌性融合を示す候補となる徴候の識別 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US12217851B2 (https=) |
| EP (1) | EP3966830A1 (https=) |
| JP (1) | JP7518097B2 (https=) |
| CN (1) | CN113785365A (https=) |
| CA (1) | CA3139352A1 (https=) |
| WO (1) | WO2020229152A1 (https=) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4248356A1 (en) | 2020-11-20 | 2023-09-27 | Bayer Aktiengesellschaft | Representation learning |
| US11791035B2 (en) * | 2021-03-09 | 2023-10-17 | PAIGE.AI, Inc. | Systems and methods for artificial intelligence powered molecular workflow verifying slide and block quality for testing |
| WO2023194090A1 (en) | 2022-04-08 | 2023-10-12 | Bayer Aktiengesellschaft | Multiple instance learning considering neighborhood aggregations |
| US20250265832A1 (en) | 2022-04-26 | 2025-08-21 | Bayer Aktiengesellschaft | Multiple-instance learning based on regional embeddings |
| WO2023213623A1 (en) | 2022-05-03 | 2023-11-09 | Bayer Aktiengesellschaft | Dynamic sampling strategy for multiple-instance learning |
| EP4471710B1 (de) | 2023-05-30 | 2025-12-17 | Bayer Aktiengesellschaft | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| EP4475070B1 (de) | 2023-06-05 | 2026-04-22 | Bayer Aktiengesellschaft | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| EP4492324A1 (de) | 2023-07-12 | 2025-01-15 | Bayer AG | Erkennen von artefakten in synthetischen medizinischen aufnahmen |
| US20250045926A1 (en) | 2023-07-25 | 2025-02-06 | Bayer Aktiengesellschaft | Detection of artifacts in synthetic images |
| EP4560648A1 (en) | 2023-11-22 | 2025-05-28 | Bayer AG | Generating synthetic training data |
| EP4567715A1 (en) | 2023-12-06 | 2025-06-11 | Bayer Aktiengesellschaft | Generating synthetic representations |
| WO2025119803A1 (en) | 2023-12-06 | 2025-06-12 | Bayer Aktiengesellschaft | Generating synthetic medical representations |
| EP4571650A1 (en) | 2023-12-12 | 2025-06-18 | Bayer AG | Generating synthetic images |
| EP4575997A1 (en) | 2023-12-18 | 2025-06-25 | Bayer Aktiengesellschaft | Generating synthetic images |
| WO2025190827A1 (en) | 2024-03-15 | 2025-09-18 | Bayer Aktiengesellschaft | Generation of a synthetic medical image |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050262031A1 (en) | 2003-07-21 | 2005-11-24 | Olivier Saidi | Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition |
| US20080032321A1 (en) | 2006-08-07 | 2008-02-07 | General Electric Company | System and methods for analyzing images of tissue samples |
| WO2019084697A1 (en) | 2017-11-06 | 2019-05-09 | University Health Network | Platform, device and process for annotation and classification of tissue specimens using convolutional neural network |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6754380B1 (en) * | 2003-02-14 | 2004-06-22 | The University Of Chicago | Method of training massive training artificial neural networks (MTANN) for the detection of abnormalities in medical images |
| WO2007023522A1 (ja) * | 2005-08-22 | 2007-03-01 | National Center Of Neurology And Psychiatry | 脳疾患の診断支援方法及び装置 |
| MX349568B (es) * | 2010-11-30 | 2017-08-03 | Univ Hong Kong Chinese | Deteccion de aberraciones geneticas o moleculares asociadas con el cancer. |
| CN109478231A (zh) * | 2016-04-01 | 2019-03-15 | 20/20基因系统股份有限公司 | 帮助区别良性和恶性放射线照相明显肺结节的方法和组合物 |
| JP6843521B2 (ja) * | 2016-04-28 | 2021-03-17 | キヤノン株式会社 | 画像処理装置及び画像処理方法 |
| US10026173B2 (en) * | 2016-11-06 | 2018-07-17 | Dde Mri Solutions Ltd. | Diffusion ellipsoid mapping of tissue |
| US9922421B1 (en) * | 2016-11-06 | 2018-03-20 | Hadassa Degani | Diffusion ellipsoid mapping of tissue |
| WO2018156133A1 (en) | 2017-02-23 | 2018-08-30 | Google Llc | Method and system for assisting pathologist identification of tumor cells in magnified tissue images |
| US11107189B2 (en) | 2017-04-07 | 2021-08-31 | Intel Corporation | Methods and systems using improved convolutional neural networks for image processing |
| US12602772B2 (en) * | 2018-01-08 | 2026-04-14 | Progenics Pharmaceuticals, Inc. | Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination |
| US11164309B2 (en) * | 2019-04-10 | 2021-11-02 | International Business Machines Corporation | Image analysis and annotation |
-
2020
- 2020-04-28 EP EP20720468.6A patent/EP3966830A1/en active Pending
- 2020-04-28 US US17/595,191 patent/US12217851B2/en active Active
- 2020-04-28 CN CN202080033711.2A patent/CN113785365A/zh active Pending
- 2020-04-28 JP JP2021566992A patent/JP7518097B2/ja active Active
- 2020-04-28 WO PCT/EP2020/061665 patent/WO2020229152A1/en not_active Ceased
- 2020-04-28 CA CA3139352A patent/CA3139352A1/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050262031A1 (en) | 2003-07-21 | 2005-11-24 | Olivier Saidi | Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition |
| US20080032321A1 (en) | 2006-08-07 | 2008-02-07 | General Electric Company | System and methods for analyzing images of tissue samples |
| WO2019084697A1 (en) | 2017-11-06 | 2019-05-09 | University Health Network | Platform, device and process for annotation and classification of tissue specimens using convolutional neural network |
Non-Patent Citations (3)
| Title |
|---|
| COUDRAY, Nicolas et al.,Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep Learning,Nat Med.,2018年10月,Vol.24,No.10,p.1559-1567,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847512/pdf/nihms-1861775.pdf |
| HECHTMAN, Jaclyn F. et al.,Pan-Trk Immunohistochemistry Is an Efficient and Reliable Screen for the Detection of NTRK Fusions,Am J Surg Pathol,2017年11月,Vol.41,No.11,p.1547-1551,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636652/pdf/nihms883557.pdf |
| PENAULT-LLORCA, Frederique et al.,Testing algorithm for identification of patients with TRK fusion cancer,J Clin Pathol,2019年05月09日,Vol.72,p.460-467,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589488/pdf/jclinpath-2018-205679.pdf |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020229152A1 (en) | 2020-11-19 |
| CA3139352A1 (en) | 2020-11-19 |
| JP2022531961A (ja) | 2022-07-12 |
| US20220223261A1 (en) | 2022-07-14 |
| CN113785365A (zh) | 2021-12-10 |
| EP3966830A1 (en) | 2022-03-16 |
| US12217851B2 (en) | 2025-02-04 |
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